diff --git a/fastchat/llm_judge/data/skycamp/model_answer/gpt-4.jsonl b/fastchat/llm_judge/data/skycamp/model_answer/gpt-4.jsonl
index 8747ae31a..faceefb32 100644
--- a/fastchat/llm_judge/data/skycamp/model_answer/gpt-4.jsonl
+++ b/fastchat/llm_judge/data/skycamp/model_answer/gpt-4.jsonl
@@ -1,5 +1,5 @@
-{"question_id": 1, "answer_id": "bjGMk6LXQGGFTwJugSBu6V", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Improving time management skills can be achieved with a few steps:\n\n1. Prioritize Tasks: Not all tasks are equally important. Determine which tasks are most important and should be completed first. \n\n2. Set Goals: Setting goals can help you manage your time better. Whether it's a long-term goal or a goal for the day, having something to work towards can keep you focused and productive.\n\n3. Create a Schedule: Having a schedule can keep you on track. Whether it's a daily, weekly, or even monthly schedule, write down what needs to be done and when.\n\n4. Avoid Procrastination: Procrastination can be a major setback when it comes to time management. If you have a task, do it. Don't put it off until the last minute.\n\n5. Delegate: If you have too much to do, delegate some of your tasks to others. This can free up your time to focus on more important tasks.\n\n6. Take Breaks: Taking regular breaks can help maintain focus and productivity. You can't work non-stop, so make sure to schedule in short breaks.\n\n7. Use Tools: There are plenty of tools and apps available that can help you manage your time more effectively. These can help you track your time, remind you of deadlines, and keep you organized.\n\n8. Evaluate: At the end of the day or week, look back at what you've done. Did you manage your time effectively? If not, identify what went wrong and how you can improve.\n\n9. Learn to say no: Don't take on more than you can handle. If you have too much on your plate, you won't be able to manage your time effectively.\n\n10. Take care of your health: Regular exercise, a healthy diet, and adequate sleep are essential for maintaining high levels of productivity. \n\nRemember, time management is a skill that takes time to develop. Don\u2019t be hard on yourself if you\u2019re not perfect at it right away."]}], "tstamp": 1697787300.5698395}
-{"question_id": 2, "answer_id": "eBLYM2BWLEqqCJDMMR7PW4", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["1. Regular Exercise: Physical activity boosts the production of endorphins, which are the body's natural mood lifters. It also helps you sleep better, which can often be affected by stress.\n\n2. Balanced Diet: Eating a healthy diet can help you feel better overall, provide more energy, and help to stabilize your mood.\n\n3. Adequate Sleep: Lack of sleep can exacerbate stress and decrease your ability to cope with it. Aim for 7-9 hours of sleep per night.\n\n4. Mindfulness and Meditation: Practices like yoga, deep breathing, or mindfulness-based stress reduction can help to focus your mind and reduce anxiety.\n\n5. Socialize: Spend time with loved ones or friends. Social interaction can provide a distraction from stressors and enhance your mood.\n\n6. Time Management: Prioritize tasks and break projects into smaller, manageable parts to alleviate feelings of being overwhelmed.\n\n7. Limit Caffeine and Alcohol: Both can exacerbate stress and anxiety and may even trigger panic attacks.\n\n8. Seek Professional Help: Therapists, counselors, and psychiatrists can provide strategies and tools to help manage stress. Cognitive behavioral therapy is particularly effective for managing stress and anxiety.\n\n9. Hobbies: Engaging in activities you enjoy can be a great stress reliever. This can include reading, gardening, crafting, gaming, etc.\n\n10. Positive Affirmations and Visualization: Positive self-talk and imagining yourself in a peaceful place or situation can help to reduce stress levels.\n\nRemember, everyone is different so what works for one person might not work for another. It's about finding what practices work best for you."]}], "tstamp": 1697787290.9577062}
-{"question_id": 3, "answer_id": "SP7rzWpueQPsjdFhWMfZje", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["1. Purpose: Python is a general-purpose programming language that can be used for server-side web development, data analysis, artificial intelligence, and scientific computing. JavaScript, on the other hand, is primarily used for client-side web development to make websites interactive and dynamic.\n\n2. Syntax: Python's syntax is simpler and more readable, which makes it a great language for beginners. It uses indentation to define blocks of code. JavaScript follows the syntax of the C programming language, using curly braces to define blocks of code.\n\n3. Typing: Python is dynamically typed but supports optional type annotations, while JavaScript is also dynamically typed but doesn't support explicit type annotation.\n\n4. Concurrency: Python uses threads for concurrency and it's not good at handling concurrent operations due to Global Interpreter Lock (GIL). JavaScript, however, uses event-driven non-blocking I/O model, which makes it efficient and lightweight for real-time applications.\n\n5. Runtime Environment: Python scripts are executed in the Python interpreter, which can be installed in any operating system. JavaScript code is usually run in a web browser, although it can also be run on the server-side using environments like Node.js.\n\n6. Libraries and Frameworks: Both Python and JavaScript have robust ecosystems of libraries and frameworks. Python has libraries like NumPy and Pandas for data analysis, Django and Flask for web development. JavaScript has libraries like React and jQuery for frontend development and Node.js for server-side scripting.\n\n7. Use in Data Science: Python is more popular in data science, machine learning and AI field due to its scientific computation libraries like NumPy, Pandas, Matplotlib, and Scikit-learn. JavaScript is not typically used for data science.\n\n8. Error Handling: Python uses a straightforward way of handling errors using try and except blocks. JavaScript uses try and catch blocks for error handling.\n\n9. Object-Oriented Programming: While both Python and JavaScript support object-oriented programming, they do so in different ways. Python uses classes for OOP, while JavaScript uses prototypes.\n\n10. Speed: JavaScript tends to be faster in the browser than Python because it's run directly within the browser. Python, however, is faster for server-side scripting and for handling complex mathematical operations."]}], "tstamp": 1697787300.2814014}
-{"question_id": 4, "answer_id": "2ZxjvPDoixuZxTg7hyVWNg", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["1. **Create a Dedicated Workspace**: Having a specific area that's set aside for work can help to trigger productivity. Avoid working from your bed or couch as these places are associated with relaxation.\n\n2. **Set a Schedule**: Try to follow regular office hours to maintain discipline. Clearly divide your work and personal time to avoid burnout.\n\n3. **Avoid Distractions**: Try to limit the distractions in your workspace. If you live with others, ask them to respect your workspace during your work hours.\n\n4. **Use Productivity Tools**: There are many digital tools available that can help you manage your time and tasks more efficiently. Tools like Asana, Trello, or Google Calendar can help you keep track of your tasks and deadlines.\n\n5. **Take Regular Breaks**: Contrary to what you might think, taking short breaks can actually increase productivity. Use techniques like the Pomodoro Technique, where you work for a set amount of time (like 25 minutes), then take a short break (like 5 minutes).\n\n6. **Practice Self-care**: Make sure you're getting enough sleep, exercising regularly, and eating healthy. These factors can greatly affect your energy levels and productivity.\n\n7. **Stay Connected**: Remote work can sometimes feel isolating. Stay connected with your colleagues via chat tools, video conferencing, and virtual meetings.\n\n8. **Set Goals**: Having a clear idea of what you want to achieve can keep you motivated and productive. Break bigger tasks into smaller, manageable ones.\n\n9. **Limit Social Media and News Consumption**: Constantly checking social media or news websites can be a major distraction. Try to limit your usage during work hours.\n\n10. **Use Time Management Techniques**: Techniques like time blocking, where you set specific timeframes for different tasks, can be very effective for improving productivity."]}], "tstamp": 1697787319.8562522}
-{"question_id": 5, "answer_id": "VZwf4AUDwn8jsZ5XXfGf8c", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Certainly! Quantum computing is a type of computation that uses quantum bits, or qubits, to process information. This is fundamentally different from classical computing, which uses bits.\n\n1. **Qubits**: In classical computing, a bit is either a 0 or a 1. In quantum computing, a qubit can be both at the same time, thanks to a property called superposition. This allows quantum computers to process a vast number of possibilities all at once.\n\n2. **Entanglement**: Qubits can also be entangled, another quantum property. When qubits are entangled, the state of one qubit is directly related to the state of another, no matter how far apart they are. This allows quantum computers to perform complex calculations more efficiently than classical computers.\n\n3. **Superposition and Interference**: Quantum computers can manipulate many combinations of qubits simultaneously thanks to superposition. They can also use interference to alter the probabilities of qubits to yield correct answers, steering computations towards correct outcomes and away from incorrect ones.\n\n4. **Quantum Gates**: Like classical computers use logic gates to perform operations on bits, quantum computers use quantum gates to perform operations on qubits. However, quantum gates are reversible and can perform operations in 'both directions'.\n\n5. **Speed and Efficiency**: Due to these properties, quantum computers have the potential to solve certain types of problems much faster and more efficiently than classical computers.\n\nIt is worth noting that quantum computing is still in its early stages of development, and many of its potential applications are still theoretical. However, it holds promise in fields such as cryptography, optimization, drug discovery, and more."]}], "tstamp": 1697787325.6577675}
+{"question_id": 1, "answer_id": "NiKTcBqd9dskneuvFRMrkx", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["The founding president of the United States was George Washington. He served two terms from 1789 to 1797."]}], "tstamp": 1697791907.7836704}
+{"question_id": 2, "answer_id": "6abFRH3EA7teRZEX5s5cNC", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Machine learning is a branch of artificial intelligence (AI) that involves the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a method of data analysis, automating analytical model building. Machine learning allows computers to find hidden insights without being explicitly programmed where to look.\n\n1. **Supervised Learning**: This is the most common technique. Here, the model is trained on a labelled dataset. A labelled dataset is one where the target or outcome variable is known. For instance, in a dataset about customers, we may know the age, gender, income, and whether they made a purchase or not. The model would learn the patterns that lead to a purchase. Once the model is trained, it can be used to predict the outcome (whether a new customer will make a purchase or not) based on the features (age, gender, income). A real-world example of supervised learning is email filtering - the algorithm learns to filter out spam mail based on past data of spam and non-spam emails.\n\n2. **Unsupervised Learning**: Unlike supervised learning, the model here is trained on an unlabeled dataset. That is, the outcome variable is not known. The goal in this type of learning is to model the underlying structure or distribution in the data to learn more about the data. Unsupervised learning techniques are used for clustering, dimensionality reduction, etc. A real-world example of unsupervised learning is customer segmentation in the marketing industry. Here, the algorithm identifies certain clusters based on buying behavior, demographics, etc., which the business can target with custom strategies.\n\n3. **Reinforcement Learning**: In this type of learning, an agent learns to behave in an environment, by performing certain actions and observing the rewards/results which it gets from those actions. It's about taking suitable action to maximize reward in a particular situation. It is employed by various software and machines to find the best possible behavior or path it should take in a specific context. A real-world example of reinforcement learning is learning to play a game against an opponent. The system makes a move, the opponent responds, and the system adjusts its strategy based on whether it is winning or losing.\n\nIn summary, supervised learning uses labeled data to predict a label given certain features, unsupervised learning finds hidden patterns or intrinsic structures in input data, and reinforcement learning learns from the environment by interacting with it and receiving rewards for performing actions."]}], "tstamp": 1697791947.0269074}
+{"question_id": 3, "answer_id": "7qznMbK5tb5HvWy3usx8sU", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["The probability of getting a head in a single toss of this biased coin is 1 - 0.3 = 0.7 (since the sum of the probabilities of all outcomes is 1).\n\nThe tosses are independent events, meaning that the outcome of one toss does not affect the outcome of another. Therefore, to find the probability of getting heads 10 times in a row, you simply multiply the probability of getting a head in one toss by itself 10 times.\n\nSo, the probability of getting 10 heads in a row is 0.7^10 = 0.0282475249, or about 0.028."]}], "tstamp": 1697791916.3974838}
+{"question_id": 4, "answer_id": "hdbHWrV8PijRnyDd5Ua2iA", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Sure, I'd be happy to help you plan! Here's a step-by-step plan for a weekend road trip from Berkeley, CA.\n\n**Step 1: Decide on Your Destination**\nBased on your preferences, I would recommend you to visit Yosemite National Park. It's approximately a 3.5-hour drive from Berkeley and offers breathtaking landscapes, scenic drives, and plenty of opportunities for sightseeing. \n\n**Step 2: Plan Your Route**\nYou can take the CA-120 E route to Yosemite. Along the way, you'll pass through Modesto where you can stop for a meal or a quick break. Once you reach Yosemite, take the Tioga Pass road for a scenic drive through the park. \n\n**Step 3: Plan Your Activities**\nYosemite National Park offers a variety of activities. You can explore Yosemite Valley, hike to Mariposa Grove to see the giant sequoias, or trek up to Glacier Point for a stunning view of Half Dome. \n\n**Step 4: Accommodation**\nConsider staying overnight in the park for the full experience. There are several options available, from campsites to lodges. You should book your accommodation in advance as they can fill up quickly.\n\n**Step 5: Pack Accordingly**\nMake sure you pack the essentials for your trip. This includes comfortable hiking shoes, warm clothing for the evening, plenty of water, snacks, a map of the park, and a camera to capture the beautiful scenery.\n\n**Step 6: Check Park Conditions**\nBefore you leave, check the park conditions on the Yosemite National Park website. This includes road closures, weather conditions, and any restrictions due to COVID-19.\n\n**Step 7: Departure**\nLeave Berkeley early in the morning to maximize your time at Yosemite. Make sure your vehicle is in good condition and that you have enough fuel for the trip.\n\nRemember to respect the park rules and leave no trace. Enjoy your weekend road trip!"]}], "tstamp": 1697791942.5985966}
+{"question_id": 5, "answer_id": "P7f2HYs7rTzD58uofcQJmi", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["The most likely reason your parents did not invite you to their wedding is because you were not born yet."]}], "tstamp": 1697791919.8906832}
diff --git a/fastchat/llm_judge/data/skycamp/model_judgment/gpt-4_pair.jsonl b/fastchat/llm_judge/data/skycamp/model_judgment/gpt-4_pair.jsonl
index 653e0b1d1..5ac3bdd1a 100644
--- a/fastchat/llm_judge/data/skycamp/model_judgment/gpt-4_pair.jsonl
+++ b/fastchat/llm_judge/data/skycamp/model_judgment/gpt-4_pair.jsonl
@@ -3,3 +3,8 @@
 {"question_id": 1, "model_1": "gpt-3.5-turbo", "model_2": "gpt-4", "g1_winner": "model_1", "g2_winner": "model_1", "judge": ["gpt-4", "pair-v2"], "g1_user_prompt": "[User Question]\nHow can I improve my time management skills?\n\n[The Start of Assistant A's Answer]\nImproving time management skills can greatly enhance productivity and reduce stress. Here are some tips to help you:\n\n1. Set clear goals: Define your short-term and long-term goals. This will help you prioritize tasks and stay focused on what's truly important.\n\n2. Prioritize tasks: Determine which tasks are most important and urgent. Use techniques like Eisenhower Matrix (dividing tasks into four quadrants based on importance and urgency) to prioritize effectively.\n\n3. Create a schedule: Plan your day or week in advance. Allocate specific time slots for each task or activity. Be realistic about how much time each task will take.\n\n4. Avoid multitasking: Contrary to popular belief, multitasking can decrease productivity. Focus on one task at a time and complete it before moving on to the next one.\n\n5. Delegate tasks: If possible, delegate tasks that can be done by others. This frees up your time to focus on more important or high-value tasks.\n\n6. Break tasks into smaller chunks: Large tasks can be overwhelming. Break them down into smaller, manageable tasks. This helps you make progress and stay motivated.\n\n7. Eliminate distractions: Minimize interruptions and distractions, such as social media notifications, unnecessary meetings, or excessive noise. Find a quiet and dedicated workspace if possible.\n\n8. Take regular breaks: Avoid burnout by taking short breaks between tasks. This can help improve focus and rejuvenate your mind.\n\n9. Learn to say no: Do not overcommit yourself. Learn to decline requests or tasks that don't align with your goals or schedule.\n\n10. Use time management tools: Utilize technology tools like calendars, task management apps, or time-tracking apps to help you stay organized and manage your time efficiently.\n\nRemember, improving time management is an ongoing process. It requires discipline and consistency. Start with small changes and gradually incorporate these tips into your routine.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nImproving time management skills can be achieved with a few steps:\n\n1. Prioritize Tasks: Not all tasks are equally important. Determine which tasks are most important and should be completed first. \n\n2. Set Goals: Setting goals can help you manage your time better. Whether it's a long-term goal or a goal for the day, having something to work towards can keep you focused and productive.\n\n3. Create a Schedule: Having a schedule can keep you on track. Whether it's a daily, weekly, or even monthly schedule, write down what needs to be done and when.\n\n4. Avoid Procrastination: Procrastination can be a major setback when it comes to time management. If you have a task, do it. Don't put it off until the last minute.\n\n5. Delegate: If you have too much to do, delegate some of your tasks to others. This can free up your time to focus on more important tasks.\n\n6. Take Breaks: Taking regular breaks can help maintain focus and productivity. You can't work non-stop, so make sure to schedule in short breaks.\n\n7. Use Tools: There are plenty of tools and apps available that can help you manage your time more effectively. These can help you track your time, remind you of deadlines, and keep you organized.\n\n8. Evaluate: At the end of the day or week, look back at what you've done. Did you manage your time effectively? If not, identify what went wrong and how you can improve.\n\n9. Learn to say no: Don't take on more than you can handle. If you have too much on your plate, you won't be able to manage your time effectively.\n\n10. Take care of your health: Regular exercise, a healthy diet, and adequate sleep are essential for maintaining high levels of productivity. \n\nRemember, time management is a skill that takes time to develop. Don\u2019t be hard on yourself if you\u2019re not perfect at it right away.\n[The End of Assistant B's Answer]", "g1_judgment": "Both Assistant A and Assistant B provide comprehensive and helpful responses to the user's question about improving time management skills. They both suggest similar strategies such as setting goals, prioritizing tasks, creating a schedule, avoiding procrastination, delegating tasks, taking breaks, using tools, and learning to say no. However, Assistant A goes a step further by providing more detailed advice, such as using the Eisenhower Matrix for prioritizing tasks, breaking tasks into smaller chunks, eliminating distractions, and the importance of discipline and consistency in improving time management. Therefore, Assistant A's response is more detailed and provides a deeper understanding of the topic. \n\nFinal Verdict: [[A]]", "g2_user_prompt": "[User Question]\nHow can I improve my time management skills?\n\n[The Start of Assistant A's Answer]\nImproving time management skills can be achieved with a few steps:\n\n1. Prioritize Tasks: Not all tasks are equally important. Determine which tasks are most important and should be completed first. \n\n2. Set Goals: Setting goals can help you manage your time better. Whether it's a long-term goal or a goal for the day, having something to work towards can keep you focused and productive.\n\n3. Create a Schedule: Having a schedule can keep you on track. Whether it's a daily, weekly, or even monthly schedule, write down what needs to be done and when.\n\n4. Avoid Procrastination: Procrastination can be a major setback when it comes to time management. If you have a task, do it. Don't put it off until the last minute.\n\n5. Delegate: If you have too much to do, delegate some of your tasks to others. This can free up your time to focus on more important tasks.\n\n6. Take Breaks: Taking regular breaks can help maintain focus and productivity. You can't work non-stop, so make sure to schedule in short breaks.\n\n7. Use Tools: There are plenty of tools and apps available that can help you manage your time more effectively. These can help you track your time, remind you of deadlines, and keep you organized.\n\n8. Evaluate: At the end of the day or week, look back at what you've done. Did you manage your time effectively? If not, identify what went wrong and how you can improve.\n\n9. Learn to say no: Don't take on more than you can handle. If you have too much on your plate, you won't be able to manage your time effectively.\n\n10. Take care of your health: Regular exercise, a healthy diet, and adequate sleep are essential for maintaining high levels of productivity. \n\nRemember, time management is a skill that takes time to develop. Don\u2019t be hard on yourself if you\u2019re not perfect at it right away.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nImproving time management skills can greatly enhance productivity and reduce stress. Here are some tips to help you:\n\n1. Set clear goals: Define your short-term and long-term goals. This will help you prioritize tasks and stay focused on what's truly important.\n\n2. Prioritize tasks: Determine which tasks are most important and urgent. Use techniques like Eisenhower Matrix (dividing tasks into four quadrants based on importance and urgency) to prioritize effectively.\n\n3. Create a schedule: Plan your day or week in advance. Allocate specific time slots for each task or activity. Be realistic about how much time each task will take.\n\n4. Avoid multitasking: Contrary to popular belief, multitasking can decrease productivity. Focus on one task at a time and complete it before moving on to the next one.\n\n5. Delegate tasks: If possible, delegate tasks that can be done by others. This frees up your time to focus on more important or high-value tasks.\n\n6. Break tasks into smaller chunks: Large tasks can be overwhelming. Break them down into smaller, manageable tasks. This helps you make progress and stay motivated.\n\n7. Eliminate distractions: Minimize interruptions and distractions, such as social media notifications, unnecessary meetings, or excessive noise. Find a quiet and dedicated workspace if possible.\n\n8. Take regular breaks: Avoid burnout by taking short breaks between tasks. This can help improve focus and rejuvenate your mind.\n\n9. Learn to say no: Do not overcommit yourself. Learn to decline requests or tasks that don't align with your goals or schedule.\n\n10. Use time management tools: Utilize technology tools like calendars, task management apps, or time-tracking apps to help you stay organized and manage your time efficiently.\n\nRemember, improving time management is an ongoing process. It requires discipline and consistency. Start with small changes and gradually incorporate these tips into your routine.\n[The End of Assistant B's Answer]", "g2_judgment": "Both Assistant A and Assistant B provide comprehensive and detailed responses to the user's question on how to improve time management skills. They both suggest similar strategies such as setting goals, prioritizing tasks, creating a schedule, avoiding procrastination, delegating tasks, taking breaks, using tools, learning to say no, and maintaining health. However, Assistant B goes a step further by suggesting the use of the Eisenhower Matrix for prioritizing tasks, avoiding multitasking, breaking tasks into smaller chunks, and eliminating distractions. These additional points provide more depth and detail to the response, making it more helpful for the user. Therefore, Assistant B's response is superior. \n\nFinal Verdict: [[B]]", "turn": 1, "tstamp": 1697787365.0034757}
 {"question_id": 4, "model_1": "gpt-3.5-turbo", "model_2": "gpt-4", "g1_winner": "model_2", "g2_winner": "model_2", "judge": ["gpt-4", "pair-v2"], "g1_user_prompt": "[User Question]\nHow can I increase my productivity while working from home?\n\n[The Start of Assistant A's Answer]\nThere are several strategies you can try to increase your productivity while working from home. Here are some suggestions:\n\n1. Establish a routine: Set a consistent schedule for your workday. Wake up at the same time each day, get dressed as if you were going to the office, and create a designated workspace. Having a routine helps signal to your brain that it's time to focus and be productive.\n\n2. Prioritize tasks: Create a to-do list or use a task management system to prioritize your work. Identify the most important tasks and tackle them first. This helps you stay organized and focused on what needs to be done.\n\n3. Minimize distractions: Identify and eliminate or minimize distractions in your workspace. This might include turning off notifications on your phone, closing unnecessary tabs on your computer, or using noise-cancelling headphones to block out background noise.\n\n4. Take regular breaks: It's important to take regular breaks to rest and recharge. Use the Pomodoro Technique, which involves working for 25 minutes and then taking a 5-minute break. After four cycles, take a longer break of about 15-30 minutes. This can help maintain your focus and prevent burnout.\n\n5. Set boundaries: Communicate your availability and work hours to your family members or housemates. Establish clear boundaries to minimize interruptions and maintain a productive work environment.\n\n6. Stay connected: Working from home can be isolating, so make an effort to stay connected with your colleagues. Schedule regular check-ins or virtual meetings to discuss projects, share progress, and maintain a sense of collaboration.\n\n7. Maintain a healthy lifestyle: Prioritize your physical and mental well-being. Get regular exercise, eat nutritious meals, and practice stress-reducing activities such as meditation or mindfulness. Taking care of yourself will help improve your focus and productivity.\n\nRemember, everyone's work style is different, so it may take some trial and error to find the strategies that work best for you.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\n1. **Create a Dedicated Workspace**: Having a specific area that's set aside for work can help to trigger productivity. Avoid working from your bed or couch as these places are associated with relaxation.\n\n2. **Set a Schedule**: Try to follow regular office hours to maintain discipline. Clearly divide your work and personal time to avoid burnout.\n\n3. **Avoid Distractions**: Try to limit the distractions in your workspace. If you live with others, ask them to respect your workspace during your work hours.\n\n4. **Use Productivity Tools**: There are many digital tools available that can help you manage your time and tasks more efficiently. Tools like Asana, Trello, or Google Calendar can help you keep track of your tasks and deadlines.\n\n5. **Take Regular Breaks**: Contrary to what you might think, taking short breaks can actually increase productivity. Use techniques like the Pomodoro Technique, where you work for a set amount of time (like 25 minutes), then take a short break (like 5 minutes).\n\n6. **Practice Self-care**: Make sure you're getting enough sleep, exercising regularly, and eating healthy. These factors can greatly affect your energy levels and productivity.\n\n7. **Stay Connected**: Remote work can sometimes feel isolating. Stay connected with your colleagues via chat tools, video conferencing, and virtual meetings.\n\n8. **Set Goals**: Having a clear idea of what you want to achieve can keep you motivated and productive. Break bigger tasks into smaller, manageable ones.\n\n9. **Limit Social Media and News Consumption**: Constantly checking social media or news websites can be a major distraction. Try to limit your usage during work hours.\n\n10. **Use Time Management Techniques**: Techniques like time blocking, where you set specific timeframes for different tasks, can be very effective for improving productivity.\n[The End of Assistant B's Answer]", "g1_judgment": "Both Assistant A and Assistant B provided comprehensive and helpful responses to the user's question about increasing productivity while working from home. They both suggested creating a dedicated workspace, setting a schedule, avoiding distractions, taking regular breaks, staying connected with colleagues, and practicing self-care. However, Assistant B went a step further by suggesting the use of productivity tools, setting goals, limiting social media and news consumption, and using time management techniques. Therefore, Assistant B's response is more detailed and provides more strategies for increasing productivity. \n\nFinal Verdict: [[B]]", "g2_user_prompt": "[User Question]\nHow can I increase my productivity while working from home?\n\n[The Start of Assistant A's Answer]\n1. **Create a Dedicated Workspace**: Having a specific area that's set aside for work can help to trigger productivity. Avoid working from your bed or couch as these places are associated with relaxation.\n\n2. **Set a Schedule**: Try to follow regular office hours to maintain discipline. Clearly divide your work and personal time to avoid burnout.\n\n3. **Avoid Distractions**: Try to limit the distractions in your workspace. If you live with others, ask them to respect your workspace during your work hours.\n\n4. **Use Productivity Tools**: There are many digital tools available that can help you manage your time and tasks more efficiently. Tools like Asana, Trello, or Google Calendar can help you keep track of your tasks and deadlines.\n\n5. **Take Regular Breaks**: Contrary to what you might think, taking short breaks can actually increase productivity. Use techniques like the Pomodoro Technique, where you work for a set amount of time (like 25 minutes), then take a short break (like 5 minutes).\n\n6. **Practice Self-care**: Make sure you're getting enough sleep, exercising regularly, and eating healthy. These factors can greatly affect your energy levels and productivity.\n\n7. **Stay Connected**: Remote work can sometimes feel isolating. Stay connected with your colleagues via chat tools, video conferencing, and virtual meetings.\n\n8. **Set Goals**: Having a clear idea of what you want to achieve can keep you motivated and productive. Break bigger tasks into smaller, manageable ones.\n\n9. **Limit Social Media and News Consumption**: Constantly checking social media or news websites can be a major distraction. Try to limit your usage during work hours.\n\n10. **Use Time Management Techniques**: Techniques like time blocking, where you set specific timeframes for different tasks, can be very effective for improving productivity.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nThere are several strategies you can try to increase your productivity while working from home. Here are some suggestions:\n\n1. Establish a routine: Set a consistent schedule for your workday. Wake up at the same time each day, get dressed as if you were going to the office, and create a designated workspace. Having a routine helps signal to your brain that it's time to focus and be productive.\n\n2. Prioritize tasks: Create a to-do list or use a task management system to prioritize your work. Identify the most important tasks and tackle them first. This helps you stay organized and focused on what needs to be done.\n\n3. Minimize distractions: Identify and eliminate or minimize distractions in your workspace. This might include turning off notifications on your phone, closing unnecessary tabs on your computer, or using noise-cancelling headphones to block out background noise.\n\n4. Take regular breaks: It's important to take regular breaks to rest and recharge. Use the Pomodoro Technique, which involves working for 25 minutes and then taking a 5-minute break. After four cycles, take a longer break of about 15-30 minutes. This can help maintain your focus and prevent burnout.\n\n5. Set boundaries: Communicate your availability and work hours to your family members or housemates. Establish clear boundaries to minimize interruptions and maintain a productive work environment.\n\n6. Stay connected: Working from home can be isolating, so make an effort to stay connected with your colleagues. Schedule regular check-ins or virtual meetings to discuss projects, share progress, and maintain a sense of collaboration.\n\n7. Maintain a healthy lifestyle: Prioritize your physical and mental well-being. Get regular exercise, eat nutritious meals, and practice stress-reducing activities such as meditation or mindfulness. Taking care of yourself will help improve your focus and productivity.\n\nRemember, everyone's work style is different, so it may take some trial and error to find the strategies that work best for you.\n[The End of Assistant B's Answer]", "g2_judgment": "Both Assistant A and Assistant B provided comprehensive and detailed responses to the user's question about increasing productivity while working from home. They both suggested creating a dedicated workspace, setting a schedule, minimizing distractions, taking regular breaks, staying connected with colleagues, and maintaining a healthy lifestyle. However, Assistant A went a step further by suggesting the use of productivity tools, setting goals, limiting social media and news consumption, and using time management techniques. These additional points provide more depth and detail to the response, making it more helpful for the user. Therefore, Assistant A's response is better. \n\nFinal Verdict: [[A]]", "turn": 1, "tstamp": 1697787380.7212043}
 {"question_id": 5, "model_1": "gpt-3.5-turbo", "model_2": "gpt-4", "g1_winner": "model_1", "g2_winner": "tie", "judge": ["gpt-4", "pair-v2"], "g1_user_prompt": "[User Question]\nCan you explain the basics of quantum computing?\n\n[The Start of Assistant A's Answer]\nOf course! Quantum computing is a field of computing that utilizes the principles of quantum mechanics to perform computation. While classical computers use bits to represent and process information, quantum computers use quantum bits, or qubits, which can exist in multiple states simultaneously, thanks to a property called superposition.\n\nSuperposition allows qubits to be in a state of both 0 and 1 at the same time, increasing the computational power exponentially compared to classical bits. Another important concept in quantum computing is entanglement, where two or more qubits become linked and share a special correlation. This correlation enables information to be processed collectively, rather than individually.\n\nQuantum algorithms are designed to exploit these quantum phenomena to solve problems more efficiently than classical algorithms. One such algorithm is Shor's algorithm, which can factor large numbers exponentially faster than classical methods, posing a threat to modern encryption systems.\n\nHowever, quantum computers face several challenges. Qubits are highly sensitive to external noise and decoherence, which can cause errors in calculations. Efforts are being made to develop error correction techniques to mitigate these issues.\n\nQuantum computing has the potential to revolutionize various fields, including cryptography, optimization, drug discovery, and simulation of quantum systems. While still in its early stages, researchers and companies are actively working towards building more powerful and reliable quantum computers to unlock their full potential.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nCertainly! Quantum computing is a type of computation that uses quantum bits, or qubits, to process information. This is fundamentally different from classical computing, which uses bits.\n\n1. **Qubits**: In classical computing, a bit is either a 0 or a 1. In quantum computing, a qubit can be both at the same time, thanks to a property called superposition. This allows quantum computers to process a vast number of possibilities all at once.\n\n2. **Entanglement**: Qubits can also be entangled, another quantum property. When qubits are entangled, the state of one qubit is directly related to the state of another, no matter how far apart they are. This allows quantum computers to perform complex calculations more efficiently than classical computers.\n\n3. **Superposition and Interference**: Quantum computers can manipulate many combinations of qubits simultaneously thanks to superposition. They can also use interference to alter the probabilities of qubits to yield correct answers, steering computations towards correct outcomes and away from incorrect ones.\n\n4. **Quantum Gates**: Like classical computers use logic gates to perform operations on bits, quantum computers use quantum gates to perform operations on qubits. However, quantum gates are reversible and can perform operations in 'both directions'.\n\n5. **Speed and Efficiency**: Due to these properties, quantum computers have the potential to solve certain types of problems much faster and more efficiently than classical computers.\n\nIt is worth noting that quantum computing is still in its early stages of development, and many of its potential applications are still theoretical. However, it holds promise in fields such as cryptography, optimization, drug discovery, and more.\n[The End of Assistant B's Answer]", "g1_judgment": "Both Assistant A and Assistant B provide accurate and detailed explanations of quantum computing. They both explain the concepts of qubits, superposition, entanglement, and the potential applications of quantum computing. However, Assistant A goes a step further by mentioning a specific quantum algorithm (Shor's algorithm) and discussing the challenges faced in quantum computing, such as qubits' sensitivity to external noise and decoherence. This additional information gives a more comprehensive overview of the topic. Therefore, Assistant A's response is more detailed and informative. \n\nFinal Verdict: [[A]]", "g2_user_prompt": "[User Question]\nCan you explain the basics of quantum computing?\n\n[The Start of Assistant A's Answer]\nCertainly! Quantum computing is a type of computation that uses quantum bits, or qubits, to process information. This is fundamentally different from classical computing, which uses bits.\n\n1. **Qubits**: In classical computing, a bit is either a 0 or a 1. In quantum computing, a qubit can be both at the same time, thanks to a property called superposition. This allows quantum computers to process a vast number of possibilities all at once.\n\n2. **Entanglement**: Qubits can also be entangled, another quantum property. When qubits are entangled, the state of one qubit is directly related to the state of another, no matter how far apart they are. This allows quantum computers to perform complex calculations more efficiently than classical computers.\n\n3. **Superposition and Interference**: Quantum computers can manipulate many combinations of qubits simultaneously thanks to superposition. They can also use interference to alter the probabilities of qubits to yield correct answers, steering computations towards correct outcomes and away from incorrect ones.\n\n4. **Quantum Gates**: Like classical computers use logic gates to perform operations on bits, quantum computers use quantum gates to perform operations on qubits. However, quantum gates are reversible and can perform operations in 'both directions'.\n\n5. **Speed and Efficiency**: Due to these properties, quantum computers have the potential to solve certain types of problems much faster and more efficiently than classical computers.\n\nIt is worth noting that quantum computing is still in its early stages of development, and many of its potential applications are still theoretical. However, it holds promise in fields such as cryptography, optimization, drug discovery, and more.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nOf course! Quantum computing is a field of computing that utilizes the principles of quantum mechanics to perform computation. While classical computers use bits to represent and process information, quantum computers use quantum bits, or qubits, which can exist in multiple states simultaneously, thanks to a property called superposition.\n\nSuperposition allows qubits to be in a state of both 0 and 1 at the same time, increasing the computational power exponentially compared to classical bits. Another important concept in quantum computing is entanglement, where two or more qubits become linked and share a special correlation. This correlation enables information to be processed collectively, rather than individually.\n\nQuantum algorithms are designed to exploit these quantum phenomena to solve problems more efficiently than classical algorithms. One such algorithm is Shor's algorithm, which can factor large numbers exponentially faster than classical methods, posing a threat to modern encryption systems.\n\nHowever, quantum computers face several challenges. Qubits are highly sensitive to external noise and decoherence, which can cause errors in calculations. Efforts are being made to develop error correction techniques to mitigate these issues.\n\nQuantum computing has the potential to revolutionize various fields, including cryptography, optimization, drug discovery, and simulation of quantum systems. While still in its early stages, researchers and companies are actively working towards building more powerful and reliable quantum computers to unlock their full potential.\n[The End of Assistant B's Answer]", "g2_judgment": "Both assistants provide a comprehensive explanation of the basics of quantum computing, including the concepts of qubits, superposition, entanglement, and the potential applications of quantum computing. However, Assistant A goes a step further by explaining the concept of quantum gates and interference, which are crucial to understanding how quantum computers work. Assistant B, on the other hand, introduces the concept of quantum algorithms and specifically mentions Shor's algorithm, which is a key example in the field. Both assistants also mention the challenges and current state of quantum computing. Given the depth and detail of both responses, it's a tie. \n\nFinal verdict: [[C]] for a tie.", "turn": 1, "tstamp": 1697787384.5040593}
+{"question_id": 5, "model_1": "gpt-3.5-turbo", "model_2": "gpt-4", "g1_winner": "tie", "g2_winner": "tie", "judge": ["gpt-4", "pair-v2"], "g1_user_prompt": "[User Question]\nPuzzle: Why did my parents not invite me to their wedding? Give only the most likely reason.\n\n[The Start of Assistant A's Answer]\nThe most likely reason your parents did not invite you to their wedding is that they got married before you were born.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nThe most likely reason your parents did not invite you to their wedding is because you were not born yet.\n[The End of Assistant B's Answer]", "g1_judgment": "Both Assistant A and Assistant B provided the same answer to the user's question, stating that the most likely reason the user was not invited to their parents' wedding is because they were not born yet. Both responses are accurate, relevant, and concise. Therefore, it's a tie. \n\nFinal verdict: [[C]]", "g2_user_prompt": "[User Question]\nPuzzle: Why did my parents not invite me to their wedding? Give only the most likely reason.\n\n[The Start of Assistant A's Answer]\nThe most likely reason your parents did not invite you to their wedding is because you were not born yet.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nThe most likely reason your parents did not invite you to their wedding is that they got married before you were born.\n[The End of Assistant B's Answer]", "g2_judgment": "Both Assistant A and Assistant B provided the same answer to the user's question, stating that the most likely reason the user was not invited to their parents' wedding is because they were not born yet. Both responses are accurate, relevant, and concise. Therefore, it's a tie. \n\nFinal verdict: [[C]]", "turn": 1, "tstamp": 1697792009.3948488}
+{"question_id": 1, "model_1": "gpt-3.5-turbo", "model_2": "gpt-4", "g1_winner": "tie", "g2_winner": "tie", "judge": ["gpt-4", "pair-v2"], "g1_user_prompt": "[User Question]\nWho was the founding president of USA?\n\n[The Start of Assistant A's Answer]\nThe founding president of the United States of America was George Washington. He served as the first president from 1789 to 1797.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nThe founding president of the United States was George Washington. He served two terms from 1789 to 1797.\n[The End of Assistant B's Answer]", "g1_judgment": "Both Assistant A and Assistant B provided accurate and relevant responses to the user's question. They both correctly identified George Washington as the founding president of the USA and provided the correct years of his presidency. The responses are essentially the same in terms of helpfulness, accuracy, depth, and level of detail. Therefore, it's a tie.\n\nFinal Verdict: [[C]]", "g2_user_prompt": "[User Question]\nWho was the founding president of USA?\n\n[The Start of Assistant A's Answer]\nThe founding president of the United States was George Washington. He served two terms from 1789 to 1797.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nThe founding president of the United States of America was George Washington. He served as the first president from 1789 to 1797.\n[The End of Assistant B's Answer]", "g2_judgment": "Both Assistant A and Assistant B provided accurate and relevant responses to the user's question. They both correctly identified George Washington as the founding president of the USA and provided the years of his presidency. There is no significant difference in the quality, depth, or detail of their responses. Therefore, it's a tie. \n\nFinal Verdict: [[C]]", "turn": 1, "tstamp": 1697792011.137702}
+{"question_id": 3, "model_1": "gpt-3.5-turbo", "model_2": "gpt-4", "g1_winner": "tie", "g2_winner": "model_1", "judge": ["gpt-4", "pair-v2"], "g1_user_prompt": "[User Question]\nWhat is the probability of getting heads 10 times using a biased coin? The probability of getting a tail is 0.3.\n\n[The Start of Assistant A's Answer]\nTo find the probability of getting heads 10 times using a biased coin, we need to multiply the probability of getting a head (0.7) by itself 10 times since each flip is independent. \n\nSo the probability is:\n\n(0.7)^10 = 0.0282475249\n\nTherefore, the probability of getting heads 10 times using a biased coin with a probability of getting a tail of 0.3 is approximately 0.0282 or 2.82%.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nThe probability of getting a head in a single toss of this biased coin is 1 - 0.3 = 0.7 (since the sum of the probabilities of all outcomes is 1).\n\nThe tosses are independent events, meaning that the outcome of one toss does not affect the outcome of another. Therefore, to find the probability of getting heads 10 times in a row, you simply multiply the probability of getting a head in one toss by itself 10 times.\n\nSo, the probability of getting 10 heads in a row is 0.7^10 = 0.0282475249, or about 0.028.\n[The End of Assistant B's Answer]", "g1_judgment": "Both Assistant A and Assistant B provided accurate and relevant responses to the user's question. They both correctly calculated the probability of getting heads 10 times with a biased coin where the probability of getting a tail is 0.3. They both explained that the tosses are independent events and that the probability of getting a head is 0.7. They both calculated the probability as 0.7^10, which is approximately 0.028 or 2.8%. Therefore, it's a tie. \n\nFinal Verdict: [[C]]", "g2_user_prompt": "[User Question]\nWhat is the probability of getting heads 10 times using a biased coin? The probability of getting a tail is 0.3.\n\n[The Start of Assistant A's Answer]\nThe probability of getting a head in a single toss of this biased coin is 1 - 0.3 = 0.7 (since the sum of the probabilities of all outcomes is 1).\n\nThe tosses are independent events, meaning that the outcome of one toss does not affect the outcome of another. Therefore, to find the probability of getting heads 10 times in a row, you simply multiply the probability of getting a head in one toss by itself 10 times.\n\nSo, the probability of getting 10 heads in a row is 0.7^10 = 0.0282475249, or about 0.028.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nTo find the probability of getting heads 10 times using a biased coin, we need to multiply the probability of getting a head (0.7) by itself 10 times since each flip is independent. \n\nSo the probability is:\n\n(0.7)^10 = 0.0282475249\n\nTherefore, the probability of getting heads 10 times using a biased coin with a probability of getting a tail of 0.3 is approximately 0.0282 or 2.82%.\n[The End of Assistant B's Answer]", "g2_judgment": "Both Assistant A and Assistant B provided accurate and relevant responses to the user's question. They both correctly calculated the probability of getting heads 10 times in a row with a biased coin where the probability of getting a tail is 0.3. They both explained that the tosses are independent events and that the probability of getting heads is 0.7. They both calculated the probability as 0.7^10, which is approximately 0.028. However, Assistant B went a step further and converted the probability to a percentage, which might be easier for some users to understand. Therefore, Assistant B provided a slightly more detailed response. \n\nFinal Verdict: [[B]]", "turn": 1, "tstamp": 1697792021.8528543}
+{"question_id": 2, "model_1": "gpt-3.5-turbo", "model_2": "gpt-4", "g1_winner": "model_1", "g2_winner": "model_2", "judge": ["gpt-4", "pair-v2"], "g1_user_prompt": "[User Question]\nPlease describe the concept of machine learning. Could you elaborate on the differences between supervised, unsupervised, and reinforcement learning? Provide real-world examples of each.\n\n[The Start of Assistant A's Answer]\nMachine learning is a subset of artificial intelligence that focuses on developing algorithms and models that enable computers to learn and make predictions or decisions without being explicitly programmed. It involves training a computer system on a large amount of data and allowing it to learn patterns and relationships within the data to make accurate predictions or decisions.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised Learning: In supervised learning, the algorithm is trained on labeled data, where the input data is paired with the corresponding correct output. The goal is to learn a mapping function that can predict the output for new, unseen inputs accurately. It requires a human expert to provide the correct answers during the training phase.\n\nExample: Email spam classification is a common example of supervised learning. The algorithm is trained on a dataset of emails labeled as spam or not spam. By learning from this labeled data, the algorithm can predict whether new, unseen emails are spam or not.\n\n2. Unsupervised Learning: Unsupervised learning involves training the algorithm on unlabeled data, where there are no predefined output labels. The goal is to discover hidden patterns, structures, or relationships within the data without any guidance. The algorithm learns to group or cluster similar data points based on their inherent similarities.\n\nExample: Customer segmentation is an example of unsupervised learning. By analyzing customer data like purchase history, demographics, and behavior patterns, the algorithm can automatically group customers into distinct segments based on similarities. This can help businesses understand their customer base better and tailor marketing strategies accordingly.\n\n3. Reinforcement Learning: Reinforcement learning involves training an agent to interact with an environment and learn from the feedback it receives. The agent learns to take actions that maximize a reward signal, which can be positive or negative. It learns through trial and error, receiving feedback in the form of rewards or penalties.\n\nExample: Training an autonomous driving system is an example of reinforcement learning. The system learns to navigate the roads by receiving rewards for following traffic rules and penalties for violating them. Over time, it learns to make decisions that maximize the overall reward, leading to safer and more efficient driving.\n\nEach type of machine learning has its own strengths and applications, and they can be combined or used in conjunction with each other to solve complex problems.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nMachine learning is a branch of artificial intelligence (AI) that involves the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a method of data analysis, automating analytical model building. Machine learning allows computers to find hidden insights without being explicitly programmed where to look.\n\n1. **Supervised Learning**: This is the most common technique. Here, the model is trained on a labelled dataset. A labelled dataset is one where the target or outcome variable is known. For instance, in a dataset about customers, we may know the age, gender, income, and whether they made a purchase or not. The model would learn the patterns that lead to a purchase. Once the model is trained, it can be used to predict the outcome (whether a new customer will make a purchase or not) based on the features (age, gender, income). A real-world example of supervised learning is email filtering - the algorithm learns to filter out spam mail based on past data of spam and non-spam emails.\n\n2. **Unsupervised Learning**: Unlike supervised learning, the model here is trained on an unlabeled dataset. That is, the outcome variable is not known. The goal in this type of learning is to model the underlying structure or distribution in the data to learn more about the data. Unsupervised learning techniques are used for clustering, dimensionality reduction, etc. A real-world example of unsupervised learning is customer segmentation in the marketing industry. Here, the algorithm identifies certain clusters based on buying behavior, demographics, etc., which the business can target with custom strategies.\n\n3. **Reinforcement Learning**: In this type of learning, an agent learns to behave in an environment, by performing certain actions and observing the rewards/results which it gets from those actions. It's about taking suitable action to maximize reward in a particular situation. It is employed by various software and machines to find the best possible behavior or path it should take in a specific context. A real-world example of reinforcement learning is learning to play a game against an opponent. The system makes a move, the opponent responds, and the system adjusts its strategy based on whether it is winning or losing.\n\nIn summary, supervised learning uses labeled data to predict a label given certain features, unsupervised learning finds hidden patterns or intrinsic structures in input data, and reinforcement learning learns from the environment by interacting with it and receiving rewards for performing actions.\n[The End of Assistant B's Answer]", "g1_judgment": "Both Assistant A and Assistant B provided accurate and detailed explanations of machine learning and the differences between supervised, unsupervised, and reinforcement learning. They both also provided relevant real-world examples for each type of learning. However, Assistant A's response was slightly more detailed and comprehensive, particularly in explaining the concept of machine learning and the process of reinforcement learning. Assistant A also provided a bit more context and detail in the examples, such as explaining how the autonomous driving system learns to navigate the roads in reinforcement learning. Therefore, Assistant A's response is more helpful and informative. \n\nFinal Verdict: [[A]]", "g2_user_prompt": "[User Question]\nPlease describe the concept of machine learning. Could you elaborate on the differences between supervised, unsupervised, and reinforcement learning? Provide real-world examples of each.\n\n[The Start of Assistant A's Answer]\nMachine learning is a branch of artificial intelligence (AI) that involves the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a method of data analysis, automating analytical model building. Machine learning allows computers to find hidden insights without being explicitly programmed where to look.\n\n1. **Supervised Learning**: This is the most common technique. Here, the model is trained on a labelled dataset. A labelled dataset is one where the target or outcome variable is known. For instance, in a dataset about customers, we may know the age, gender, income, and whether they made a purchase or not. The model would learn the patterns that lead to a purchase. Once the model is trained, it can be used to predict the outcome (whether a new customer will make a purchase or not) based on the features (age, gender, income). A real-world example of supervised learning is email filtering - the algorithm learns to filter out spam mail based on past data of spam and non-spam emails.\n\n2. **Unsupervised Learning**: Unlike supervised learning, the model here is trained on an unlabeled dataset. That is, the outcome variable is not known. The goal in this type of learning is to model the underlying structure or distribution in the data to learn more about the data. Unsupervised learning techniques are used for clustering, dimensionality reduction, etc. A real-world example of unsupervised learning is customer segmentation in the marketing industry. Here, the algorithm identifies certain clusters based on buying behavior, demographics, etc., which the business can target with custom strategies.\n\n3. **Reinforcement Learning**: In this type of learning, an agent learns to behave in an environment, by performing certain actions and observing the rewards/results which it gets from those actions. It's about taking suitable action to maximize reward in a particular situation. It is employed by various software and machines to find the best possible behavior or path it should take in a specific context. A real-world example of reinforcement learning is learning to play a game against an opponent. The system makes a move, the opponent responds, and the system adjusts its strategy based on whether it is winning or losing.\n\nIn summary, supervised learning uses labeled data to predict a label given certain features, unsupervised learning finds hidden patterns or intrinsic structures in input data, and reinforcement learning learns from the environment by interacting with it and receiving rewards for performing actions.\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nMachine learning is a subset of artificial intelligence that focuses on developing algorithms and models that enable computers to learn and make predictions or decisions without being explicitly programmed. It involves training a computer system on a large amount of data and allowing it to learn patterns and relationships within the data to make accurate predictions or decisions.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised Learning: In supervised learning, the algorithm is trained on labeled data, where the input data is paired with the corresponding correct output. The goal is to learn a mapping function that can predict the output for new, unseen inputs accurately. It requires a human expert to provide the correct answers during the training phase.\n\nExample: Email spam classification is a common example of supervised learning. The algorithm is trained on a dataset of emails labeled as spam or not spam. By learning from this labeled data, the algorithm can predict whether new, unseen emails are spam or not.\n\n2. Unsupervised Learning: Unsupervised learning involves training the algorithm on unlabeled data, where there are no predefined output labels. The goal is to discover hidden patterns, structures, or relationships within the data without any guidance. The algorithm learns to group or cluster similar data points based on their inherent similarities.\n\nExample: Customer segmentation is an example of unsupervised learning. By analyzing customer data like purchase history, demographics, and behavior patterns, the algorithm can automatically group customers into distinct segments based on similarities. This can help businesses understand their customer base better and tailor marketing strategies accordingly.\n\n3. Reinforcement Learning: Reinforcement learning involves training an agent to interact with an environment and learn from the feedback it receives. The agent learns to take actions that maximize a reward signal, which can be positive or negative. It learns through trial and error, receiving feedback in the form of rewards or penalties.\n\nExample: Training an autonomous driving system is an example of reinforcement learning. The system learns to navigate the roads by receiving rewards for following traffic rules and penalties for violating them. Over time, it learns to make decisions that maximize the overall reward, leading to safer and more efficient driving.\n\nEach type of machine learning has its own strengths and applications, and they can be combined or used in conjunction with each other to solve complex problems.\n[The End of Assistant B's Answer]", "g2_judgment": "Both Assistant A and Assistant B provided accurate and detailed explanations of machine learning and the differences between supervised, unsupervised, and reinforcement learning. They both also provided relevant real-world examples for each type of learning. However, Assistant A's explanation was slightly more detailed, particularly in the explanation of supervised learning where it explained the concept of a labelled dataset and how the model learns patterns that lead to a certain outcome. Assistant B's explanation, while accurate, was a bit more general. Therefore, Assistant A's response was more informative and provided a deeper understanding of the concepts. \n\nFinal Verdict: [[A]]", "turn": 1, "tstamp": 1697792022.2338178}
+{"question_id": 4, "model_1": "gpt-3.5-turbo", "model_2": "gpt-4", "g1_winner": "model_1", "g2_winner": "model_1", "judge": ["gpt-4", "pair-v2"], "g1_user_prompt": "[User Question]\nI'm a college student in Berkeley, CA. I'd like to plan a weekend road trip leaving from Berkeley. My preferences are sightseeing, national parks, and scenic drives. What do you recommend? Let's think step by step.\n\n[The Start of Assistant A's Answer]\nGreat! Planning a road trip from Berkeley, CA to explore sightseeing, national parks, and scenic drives sounds like an exciting adventure. Let's break it down step by step:\n\nStep 1: Choosing a destination\nConsidering your preferences, some excellent options within driving distance from Berkeley include Yosemite National Park, Big Sur, and Lake Tahoe. Each destination offers unique sights and experiences.\n\nStep 2: Duration of the trip\nDecide how many days you have available for the road trip. A weekend trip typically lasts two to three days, so keep that in mind when planning your itinerary.\n\nStep 3: Route planning\nBased on the destination you choose, you can plan your route accordingly. Here are a few options:\n\n- Yosemite National Park: Take CA-120E to enter the park from the west. This scenic drive will take you through beautiful landscapes. You can also consider taking CA-140E or CA-41S as alternative routes.\n\n- Big Sur: Head south on CA-1, also known as the Pacific Coast Highway. This stunning coastal drive offers breathtaking views of the Pacific Ocean.\n\n- Lake Tahoe: Take I-80E towards Truckee, and then continue on CA-89S to reach Lake Tahoe. This route provides picturesque mountain views.\n\nStep 4: Accommodation\nConsider where you'll be staying during your trip. If you're visiting Yosemite National Park, you can choose to camp within the park or find accommodation in nearby towns like Mariposa or Oakhurst. Big Sur has several campgrounds and lodges, while Lake Tahoe offers a range of hotels and vacation rentals.\n\nStep 5: Activities and sights\nResearch the must-see attractions and activities at your chosen destination. In Yosemite National Park, you can explore iconic landmarks like Yosemite Valley, Glacier Point, and Mariposa Grove. Big Sur offers stunning coastal hikes, scenic viewpoints, and beautiful beaches. At Lake Tahoe, you can enjoy hiking, water activities, or simply relax by the lake.\n\nStep 6: Packing essentials\nMake sure to pack essentials such as comfortable clothing, hiking shoes, sunscreen, water bottles, snacks, and a camera to capture the beautiful moments.\n\nStep 7: Safety and preparations\nBefore embarking on your road trip, ensure your car is in good condition. Check the tire pressure, fluid levels, and have a spare tire and emergency kit handy. Also, be aware of any permits or reservations required for national parks or campsites.\n\nRemember to check the road conditions and weather forecast closer to your travel dates, as they may impact your plans.\n\nEnjoy your road trip and the beautiful sights along the way!\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nSure, I'd be happy to help you plan! Here's a step-by-step plan for a weekend road trip from Berkeley, CA.\n\n**Step 1: Decide on Your Destination**\nBased on your preferences, I would recommend you to visit Yosemite National Park. It's approximately a 3.5-hour drive from Berkeley and offers breathtaking landscapes, scenic drives, and plenty of opportunities for sightseeing. \n\n**Step 2: Plan Your Route**\nYou can take the CA-120 E route to Yosemite. Along the way, you'll pass through Modesto where you can stop for a meal or a quick break. Once you reach Yosemite, take the Tioga Pass road for a scenic drive through the park. \n\n**Step 3: Plan Your Activities**\nYosemite National Park offers a variety of activities. You can explore Yosemite Valley, hike to Mariposa Grove to see the giant sequoias, or trek up to Glacier Point for a stunning view of Half Dome. \n\n**Step 4: Accommodation**\nConsider staying overnight in the park for the full experience. There are several options available, from campsites to lodges. You should book your accommodation in advance as they can fill up quickly.\n\n**Step 5: Pack Accordingly**\nMake sure you pack the essentials for your trip. This includes comfortable hiking shoes, warm clothing for the evening, plenty of water, snacks, a map of the park, and a camera to capture the beautiful scenery.\n\n**Step 6: Check Park Conditions**\nBefore you leave, check the park conditions on the Yosemite National Park website. This includes road closures, weather conditions, and any restrictions due to COVID-19.\n\n**Step 7: Departure**\nLeave Berkeley early in the morning to maximize your time at Yosemite. Make sure your vehicle is in good condition and that you have enough fuel for the trip.\n\nRemember to respect the park rules and leave no trace. Enjoy your weekend road trip!\n[The End of Assistant B's Answer]", "g1_judgment": "Both Assistant A and Assistant B provided detailed, step-by-step plans for a weekend road trip from Berkeley, CA, considering the user's preferences for sightseeing, national parks, and scenic drives. However, Assistant A offered a more comprehensive response by suggesting three different destinations (Yosemite National Park, Big Sur, and Lake Tahoe) and providing specific information for each, including route planning, accommodation options, and activities. Assistant B focused solely on Yosemite National Park, which, while detailed, limited the user's options. Therefore, Assistant A's response was more helpful and provided a greater level of detail. \n\nFinal Verdict: [[A]]", "g2_user_prompt": "[User Question]\nI'm a college student in Berkeley, CA. I'd like to plan a weekend road trip leaving from Berkeley. My preferences are sightseeing, national parks, and scenic drives. What do you recommend? Let's think step by step.\n\n[The Start of Assistant A's Answer]\nSure, I'd be happy to help you plan! Here's a step-by-step plan for a weekend road trip from Berkeley, CA.\n\n**Step 1: Decide on Your Destination**\nBased on your preferences, I would recommend you to visit Yosemite National Park. It's approximately a 3.5-hour drive from Berkeley and offers breathtaking landscapes, scenic drives, and plenty of opportunities for sightseeing. \n\n**Step 2: Plan Your Route**\nYou can take the CA-120 E route to Yosemite. Along the way, you'll pass through Modesto where you can stop for a meal or a quick break. Once you reach Yosemite, take the Tioga Pass road for a scenic drive through the park. \n\n**Step 3: Plan Your Activities**\nYosemite National Park offers a variety of activities. You can explore Yosemite Valley, hike to Mariposa Grove to see the giant sequoias, or trek up to Glacier Point for a stunning view of Half Dome. \n\n**Step 4: Accommodation**\nConsider staying overnight in the park for the full experience. There are several options available, from campsites to lodges. You should book your accommodation in advance as they can fill up quickly.\n\n**Step 5: Pack Accordingly**\nMake sure you pack the essentials for your trip. This includes comfortable hiking shoes, warm clothing for the evening, plenty of water, snacks, a map of the park, and a camera to capture the beautiful scenery.\n\n**Step 6: Check Park Conditions**\nBefore you leave, check the park conditions on the Yosemite National Park website. This includes road closures, weather conditions, and any restrictions due to COVID-19.\n\n**Step 7: Departure**\nLeave Berkeley early in the morning to maximize your time at Yosemite. Make sure your vehicle is in good condition and that you have enough fuel for the trip.\n\nRemember to respect the park rules and leave no trace. Enjoy your weekend road trip!\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\nGreat! Planning a road trip from Berkeley, CA to explore sightseeing, national parks, and scenic drives sounds like an exciting adventure. Let's break it down step by step:\n\nStep 1: Choosing a destination\nConsidering your preferences, some excellent options within driving distance from Berkeley include Yosemite National Park, Big Sur, and Lake Tahoe. Each destination offers unique sights and experiences.\n\nStep 2: Duration of the trip\nDecide how many days you have available for the road trip. A weekend trip typically lasts two to three days, so keep that in mind when planning your itinerary.\n\nStep 3: Route planning\nBased on the destination you choose, you can plan your route accordingly. Here are a few options:\n\n- Yosemite National Park: Take CA-120E to enter the park from the west. This scenic drive will take you through beautiful landscapes. You can also consider taking CA-140E or CA-41S as alternative routes.\n\n- Big Sur: Head south on CA-1, also known as the Pacific Coast Highway. This stunning coastal drive offers breathtaking views of the Pacific Ocean.\n\n- Lake Tahoe: Take I-80E towards Truckee, and then continue on CA-89S to reach Lake Tahoe. This route provides picturesque mountain views.\n\nStep 4: Accommodation\nConsider where you'll be staying during your trip. If you're visiting Yosemite National Park, you can choose to camp within the park or find accommodation in nearby towns like Mariposa or Oakhurst. Big Sur has several campgrounds and lodges, while Lake Tahoe offers a range of hotels and vacation rentals.\n\nStep 5: Activities and sights\nResearch the must-see attractions and activities at your chosen destination. In Yosemite National Park, you can explore iconic landmarks like Yosemite Valley, Glacier Point, and Mariposa Grove. Big Sur offers stunning coastal hikes, scenic viewpoints, and beautiful beaches. At Lake Tahoe, you can enjoy hiking, water activities, or simply relax by the lake.\n\nStep 6: Packing essentials\nMake sure to pack essentials such as comfortable clothing, hiking shoes, sunscreen, water bottles, snacks, and a camera to capture the beautiful moments.\n\nStep 7: Safety and preparations\nBefore embarking on your road trip, ensure your car is in good condition. Check the tire pressure, fluid levels, and have a spare tire and emergency kit handy. Also, be aware of any permits or reservations required for national parks or campsites.\n\nRemember to check the road conditions and weather forecast closer to your travel dates, as they may impact your plans.\n\nEnjoy your road trip and the beautiful sights along the way!\n[The End of Assistant B's Answer]", "g2_judgment": "Both Assistant A and Assistant B provided detailed, step-by-step plans for a weekend road trip from Berkeley, CA. They both considered the user's preferences for sightseeing, national parks, and scenic drives. \n\nAssistant A focused solely on a trip to Yosemite National Park, providing a detailed itinerary including the route, activities, accommodation, packing, park conditions, and departure. This response is very specific and tailored, which could be very helpful if the user was indeed interested in Yosemite.\n\nAssistant B, on the other hand, provided options for three different destinations: Yosemite National Park, Big Sur, and Lake Tahoe. This response gives the user more choices, which could be beneficial if the user was open to exploring different locations. However, the details for each location are less specific compared to Assistant A's response.\n\nIn terms of depth, creativity, and level of detail, both assistants performed well. They both provided comprehensive road trip plans, including considerations for route planning, accommodation, activities, packing, and safety preparations.\n\nIn conclusion, while both responses are excellent, Assistant B's response might be more helpful to the user as it provides more options for the user to choose from. Therefore, my final verdict is: [[B]].", "turn": 1, "tstamp": 1697792031.8971374}
diff --git a/fastchat/llm_judge/data/skycamp/model_judgment/gpt-4_single.jsonl b/fastchat/llm_judge/data/skycamp/model_judgment/gpt-4_single.jsonl
deleted file mode 100644
index 3750347dc..000000000
--- a/fastchat/llm_judge/data/skycamp/model_judgment/gpt-4_single.jsonl
+++ /dev/null
@@ -1,5 +0,0 @@
-{"question_id": 1, "model": "gpt-3.5-turbo", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWho was the founding president of USA?\n\n[The Start of Assistant's Answer]\nThe founding president of the United States of America was George Washington. He served as the first president from 1789 to 1797.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and directly answers the user's question. The assistant provides the correct information about the first president of the United States, George Washington, and also includes the years of his presidency. However, the response could have been more detailed, for instance, by adding some more information about George Washington's role in the founding of the country. Overall, the response is satisfactory. Rating: [[8]]", "score": 8, "turn": 1, "tstamp": 1697787680.8020542}
-{"question_id": 2, "model": "gpt-3.5-turbo", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease describe the concept of machine learning. Could you elaborate on the differences between supervised, unsupervised, and reinforcement learning? Provide real-world examples of each.\n\n[The Start of Assistant's Answer]\nMachine learning is a subset of artificial intelligence that focuses on developing algorithms and models that enable computers to learn and make predictions or decisions without being explicitly programmed. It involves training a computer system on a large amount of data and allowing it to learn patterns and relationships within the data to make accurate predictions or decisions.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised Learning: In supervised learning, the algorithm is trained on labeled data, where the input data is paired with the corresponding correct output. The goal is to learn a mapping function that can predict the output for new, unseen inputs accurately. It requires a human expert to provide the correct answers during the training phase.\n\nExample: Email spam classification is a common example of supervised learning. The algorithm is trained on a dataset of emails labeled as spam or not spam. By learning from this labeled data, the algorithm can predict whether new, unseen emails are spam or not.\n\n2. Unsupervised Learning: Unsupervised learning involves training the algorithm on unlabeled data, where there are no predefined output labels. The goal is to discover hidden patterns, structures, or relationships within the data without any guidance. The algorithm learns to group or cluster similar data points based on their inherent similarities.\n\nExample: Customer segmentation is an example of unsupervised learning. By analyzing customer data like purchase history, demographics, and behavior patterns, the algorithm can automatically group customers into distinct segments based on similarities. This can help businesses understand their customer base better and tailor marketing strategies accordingly.\n\n3. Reinforcement Learning: Reinforcement learning involves training an agent to interact with an environment and learn from the feedback it receives. The agent learns to take actions that maximize a reward signal, which can be positive or negative. It learns through trial and error, receiving feedback in the form of rewards or penalties.\n\nExample: Training an autonomous driving system is an example of reinforcement learning. The system learns to navigate the roads by receiving rewards for following traffic rules and penalties for violating them. Over time, it learns to make decisions that maximize the overall reward, leading to safer and more efficient driving.\n\nEach type of machine learning has its own strengths and applications, and they can be combined or used in conjunction with each other to solve complex problems.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly informative, accurate, and detailed. It provides a clear and concise explanation of machine learning and its three main types: supervised, unsupervised, and reinforcement learning. The assistant also provides real-world examples for each type, which helps to illustrate the concepts and their practical applications. The response is relevant to the user's question and provides a comprehensive understanding of the topic. The assistant's answer is also well-structured, making it easy to follow and understand. Therefore, I would rate this response highly. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1697787690.7350655}
-{"question_id": 4, "model": "gpt-3.5-turbo", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nI'm a college student in Berkeley, CA. I'd like to plan a weekend road trip leaving from Berkeley. My preferences are sightseeing, national parks, and scenic drives. What do you recommend? Let's think step by step.\n\n[The Start of Assistant's Answer]\nGreat! Planning a road trip from Berkeley, CA to explore sightseeing, national parks, and scenic drives sounds like an exciting adventure. Let's break it down step by step:\n\nStep 1: Choosing a destination\nConsidering your preferences, some excellent options within driving distance from Berkeley include Yosemite National Park, Big Sur, and Lake Tahoe. Each destination offers unique sights and experiences.\n\nStep 2: Duration of the trip\nDecide how many days you have available for the road trip. A weekend trip typically lasts two to three days, so keep that in mind when planning your itinerary.\n\nStep 3: Route planning\nBased on the destination you choose, you can plan your route accordingly. Here are a few options:\n\n- Yosemite National Park: Take CA-120E to enter the park from the west. This scenic drive will take you through beautiful landscapes. You can also consider taking CA-140E or CA-41S as alternative routes.\n\n- Big Sur: Head south on CA-1, also known as the Pacific Coast Highway. This stunning coastal drive offers breathtaking views of the Pacific Ocean.\n\n- Lake Tahoe: Take I-80E towards Truckee, and then continue on CA-89S to reach Lake Tahoe. This route provides picturesque mountain views.\n\nStep 4: Accommodation\nConsider where you'll be staying during your trip. If you're visiting Yosemite National Park, you can choose to camp within the park or find accommodation in nearby towns like Mariposa or Oakhurst. Big Sur has several campgrounds and lodges, while Lake Tahoe offers a range of hotels and vacation rentals.\n\nStep 5: Activities and sights\nResearch the must-see attractions and activities at your chosen destination. In Yosemite National Park, you can explore iconic landmarks like Yosemite Valley, Glacier Point, and Mariposa Grove. Big Sur offers stunning coastal hikes, scenic viewpoints, and beautiful beaches. At Lake Tahoe, you can enjoy hiking, water activities, or simply relax by the lake.\n\nStep 6: Packing essentials\nMake sure to pack essentials such as comfortable clothing, hiking shoes, sunscreen, water bottles, snacks, and a camera to capture the beautiful moments.\n\nStep 7: Safety and preparations\nBefore embarking on your road trip, ensure your car is in good condition. Check the tire pressure, fluid levels, and have a spare tire and emergency kit handy. Also, be aware of any permits or reservations required for national parks or campsites.\n\nRemember to check the road conditions and weather forecast closer to your travel dates, as they may impact your plans.\n\nEnjoy your road trip and the beautiful sights along the way!\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly detailed, relevant, and accurate. It provides a step-by-step guide to planning a road trip, taking into account the user's preferences for sightseeing, national parks, and scenic drives. The assistant suggests suitable destinations, provides route options, discusses accommodation possibilities, and even includes tips on what to pack and safety preparations. The assistant also reminds the user to check road conditions and weather forecasts, which is a crucial part of trip planning. The response is comprehensive and covers all the necessary aspects of planning a road trip, making it very helpful for the user. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1697787703.8426387}
-{"question_id": 3, "model": "gpt-3.5-turbo", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhat is the probability of getting heads 10 times using a biased coin? The probability of getting a tail is 0.3.\n\n[The Start of Reference Answer]\nThe probability of getting a head is 1 - the probability of getting a tail. So, the probability of getting a head is 1 - 0.3 = 0.7.\n\nThe probability of getting heads 10 times in a row is the probability of getting a head to the power of the number of times you want it to happen. So, the probability of getting heads 10 times in a row is 0.7^10 = 0.0282475249 or approximately 0.028 or 2.8%.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the probability of getting heads 10 times using a biased coin, we need to multiply the probability of getting a head (0.7) by itself 10 times since each flip is independent. \n\nSo the probability is:\n\n(0.7)^10 = 0.0282475249\n\nTherefore, the probability of getting heads 10 times using a biased coin with a probability of getting a tail of 0.3 is approximately 0.0282 or 2.82%.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and aligns with the reference answer. Both answers correctly identify that the probability of getting a head is 0.7 (1 - 0.3) and that the probability of getting heads 10 times in a row is 0.7^10. The assistant also correctly calculates the result as approximately 0.0282 or 2.82%. The assistant's response is clear, accurate, and helpful, providing the user with the correct calculation and interpretation of the probability. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1697787714.0843625}
-{"question_id": 5, "model": "gpt-3.5-turbo", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPuzzle: Why did my parents not invite me to their wedding? Give only the most likely reason.\n\n[The Start of Reference Answer]\nThe most likely reason is that you were not born yet at the time of their wedding.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe most likely reason your parents did not invite you to their wedding is that they got married before you were born.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and matches the reference answer. Both responses correctly identify that the most likely reason the user was not invited to their parents' wedding is because they were not born yet. There are no mistakes to correct. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1697787718.8947814}
diff --git a/fastchat/llm_judge/data/skycamp/reference_answer/gpt-4.jsonl b/fastchat/llm_judge/data/skycamp/reference_answer/gpt-4.jsonl
deleted file mode 100644
index 1d52ff6d8..000000000
--- a/fastchat/llm_judge/data/skycamp/reference_answer/gpt-4.jsonl
+++ /dev/null
@@ -1,5 +0,0 @@
-{"question_id": 1, "answer_id": "JLkhQnoc55xN472sHdDHQN", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["The founding president of the United States was George Washington. He served two terms from 1789 to 1797."]}], "tstamp": 1697787202.6949246}
-{"question_id": 2, "answer_id": "6aVdbEnopvGJCms9rXmNoU", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Machine learning is a subset of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. It focuses on the development of computer programs that can access data and use it to learn for themselves.\n\n1. Supervised Learning: This is a type of machine learning where the model is trained on a labeled dataset. A labeled dataset is one where the target outcome or answer is already known. The model learns from this data and then applies that learning to new data. It's called \"supervised\" learning because the process of an algorithm learning from the training dataset can be thought of as a teacher supervising the learning process. \n\n   Real-world example: A common example of supervised learning is email filtering - the algorithm is trained with a set of emails labeled as \"spam\" or \"not spam\", and based on that training, it can classify new incoming emails into either category.\n\n2. Unsupervised Learning: This is a type of machine learning where the model is trained on an unlabeled dataset. The model must find patterns and relationships within the data on its own. It's called \"unsupervised\" learning because there is no correct answers and there is no teacher. Algorithms are left to their own devises to discover and present the interesting structure in the data.\n\n   Real-world example: A common example of unsupervised learning is customer segmentation in marketing - the algorithm groups customers into different segments based on their purchasing behavior, without any prior knowledge of who should be in which group.\n\n3. Reinforcement Learning: This is a type of machine learning where an agent learns to behave in an environment, by performing certain actions and observing the results/rewards/results. The agent learns from the consequences of its actions, rather than from being taught explicitly. It selects its actions based on its past experiences (exploitation) and also by new choices (exploration), which is essentially trial and error learning.\n\n   Real-world example: A common example of reinforcement learning is in gaming AI - the algorithm learns how to play a game (like chess or Go) by playing many games and learning from its mistakes, gradually improving its performance over time."]}], "tstamp": 1697787238.3347323}
-{"question_id": 3, "answer_id": "3FTrUve7N4dUHVPiVfXEuf", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["The probability of getting a head is 1 - the probability of getting a tail. So, the probability of getting a head is 1 - 0.3 = 0.7.\n\nThe probability of getting heads 10 times in a row is the probability of getting a head to the power of the number of times you want it to happen. So, the probability of getting heads 10 times in a row is 0.7^10 = 0.0282475249 or approximately 0.028 or 2.8%."]}], "tstamp": 1697787248.2623236}
-{"question_id": 4, "answer_id": "KDXuHkU9YhxUoChPFC7kK5", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Sure, I'd be happy to help you plan a road trip that aligns with your interests. Here's a suggestion for a three-day weekend trip:\n\n**Day 1: Berkeley to Yosemite National Park**\n\nBegin your journey by heading to Yosemite National Park, a world-famous destination known for its stunning waterfalls, deep valleys, grand meadows, and ancient giant sequoias. The drive is approximately 4 hours. \n\nDepart early in the morning to maximize your day at the park. Once there, you can explore the Yosemite Valley, Mariposa Grove (home to over 500 mature giant sequoias), and Glacier Point for a breathtaking view of the entire Yosemite Valley. \n\nAfterward, you may choose to stay overnight at one of the park's lodges or campgrounds, or head to a nearby town like Mariposa. \n\n**Day 2: Yosemite to Kings Canyon and Sequoia National Parks**\n\nOn the second day, drive south to Kings Canyon and Sequoia National Parks (Approximately 3.5 hours from Yosemite). These twin parks are known for their massive trees, deep canyons, and towering mountains.\n\nIn Kings Canyon National Park, you can visit the General Grant Tree, the world's second-largest tree. In Sequoia National Park, don't miss the General Sherman Tree, the largest tree in the world by volume.\n\nFor an unforgettable scenic drive, take the Kings Canyon Scenic Byway. It's one of the most beautiful drives in California, taking you deep into the heart of the park.\n\nYou can opt to camp in one of the parks or stay overnight at a nearby town like Three Rivers.\n\n**Day 3: Sequoia National Park to Berkeley**\n\nOn your last day, consider exploring more of Sequoia National Park in the morning. Take the Moro Rock Trail, a short but steep hike that leads to a fantastic panoramic view. \n\nIn the afternoon, start your journey back to Berkeley. The drive from Sequoia National Park to Berkeley is approximately 4.5 hours.\n\nRemember to check the weather and road conditions before your trip. National parks may also require reservations or have certain restrictions due to COVID-19, so make sure to check their official websites for the most accurate and updated information.\n\nHappy traveling!"]}], "tstamp": 1697787287.0736637}
-{"question_id": 5, "answer_id": "9YWZ6XWeYVrS4MKqMvApt5", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["The most likely reason is that you were not born yet at the time of their wedding."]}], "tstamp": 1697787288.9998314}
diff --git a/fastchat/llm_judge/qa_browser.py b/fastchat/llm_judge/qa_browser.py
index 9c455b9c0..2c3805c04 100644
--- a/fastchat/llm_judge/qa_browser.py
+++ b/fastchat/llm_judge/qa_browser.py
@@ -420,9 +420,9 @@ def build_demo():
     model_answers = load_model_answers(answer_dir)
 
     # Load model judgments
-    model_judgments_normal_single = (
-        model_judgments_math_single
-    ) = load_single_model_judgments(single_model_judgment_file)
+    # model_judgments_normal_single = (
+    #     model_judgments_math_single
+    # ) = load_single_model_judgments(single_model_judgment_file)
     model_judgments_normal_pairwise = (
         model_judgments_math_pairwise
     ) = load_pairwise_model_judgments(pairwise_model_judgment_file)